Please use this identifier to cite or link to this item: https://repository.isls.org//handle/1/832
Title: Networks in Small-Group and Whole-class Structures in Large Knowledge Building Communities
Authors: FENG, Xueqi
van Aalst, Jan
Chan, Carol
Yang, Yuqin
Issue Date: Jul-2018
Publisher: International Society of the Learning Sciences, Inc. [ISLS].
Citation: FENG, X., van Aalst, J., Chan, C., & Yang, Y. (2018). Networks in Small-Group and Whole-class Structures in Large Knowledge Building Communities. In Kay, J. and Luckin, R. (Eds.) Rethinking Learning in the Digital Age: Making the Learning Sciences Count, 13th International Conference of the Learning Sciences (ICLS) 2018, Volume 3. London, UK: International Society of the Learning Sciences.
Abstract: This study compared small-group and whole-class structures in two large knowledge building communities. We analyzed students’ online notes on Knowledge Forum by KBDex. Results found that students in small-group structure showed better community knowledge advancement. However, unbalanced distribution of expertise in the small-group class was also observed.
URI: https://doi.dx.org/10.22318/cscl2018.1737
https://repository.isls.org//handle/1/832
Appears in Collections:ICLS 2018

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